We are looking for someone who is excited to apply cutting-edge techniques from natural language processing (NLP) to the text-to-speech (TTS) technology behind Alexa and our AWS cloud speech service.
As an Applied Scientist you will be responsible for leading the development and launch of core product features. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.
We believe that, like a human speaker, a text-to-speech system can produce more natural speech if it has an improved understanding of the meaning and context of the text. If you agree...
You will have the opportunity to solve hard problems with voice – we've spent years of invention on this. When we started working on this, the technology didn't even exist – we had to invent it. Join us if you want to apply your NLP skills in a dynamic field that is revolutionising the way people interact with devices and services
We believe that voice will fundamentally improve the way people interact with technology. It can make the complex simple—it's the most natural and convenient user interface. Voice is going to be a big part of our future and we are inventing it here.
· Use your expertise in NLP to research and implement novel approaches to make improvements to our text-to-speech technology.
· Lead and Mentor junior engineers and scientists.
· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications.
Ideal candidate profile
· MSc or PhD in Computer Science, Mathematics or related technical discipline
· Experience of research or innovative product development using natural language processing
· Programming skills in commonly used ML languages (e.g. Python, R, Matlab)
· Excellent depth and breadth of knowledge in machine learning
· Excellent communication skills and the ability to work in a team
· Experience in mentoring junior scientists